Dataset of mouse EEG and behaviors under threat-and-escape paradigm (solitary threat condition)

<p>Original publication link:&nbsp;<a href="https://doi.org/10.1073/pnas.2308762120">https://doi.org/10.1073/pnas.2308762120</a></p> <p>A set of mouse EEG data (raw data files in [data_EEG-BIDS.zip]) and simultaneously recorded video (raw data files and processed behavioral data&nbsp;in [data_behavior.zip]). A mirror&nbsp;of this dataset is located here:&nbsp;<a href="https://gin.g-node.org/hiobeen/Mouse-threat-and-escape-Han-et-al-PNAS">https://gin.g-node.org/hiobeen/Mouse-threat-and-escape-Han-et-al-PNAS</a>.</p> <p>Check this <a href="https://gin.g-node.org/hiobeen/Mouse-threat-and-escape-Han-et-al-PNAS/src/master/README.md">how-to-start guide</a> to this dataset!&nbsp;<br> &nbsp;</p> <p>1. EEG dataset</p> <p>Most of all, the overall dataset structure adheres to the BIDS-EEG format introduced by Pernet et al. (2019). Within the top-level directory &#39;data_EEG-BIDS/&#39;, the EEG data is organized under paths starting with &#39;sub-##/&#39;. These EEG recordings (mouse n = 8) were recorded under the Threat-and-escape paradigm experiment, which involves dynamic interactions with a spider robot. This experiment was done in two separate conditions: the solitary condition, where a mouse was exposed to the robot alone in the arena (referred to as the &#39;Single&#39; condition), and the group condition, where mice encountered the robot alongside other conspecifics (referred to as the &#39;Group&#39; condition). This dataset only includes the data from solitary condition. CBRAIN headstage (Kim et al., 2019) was employed to record this EEG data at a sampling rate of 1024 Hz. The recordings were taken from the medial prefrontal cortex (channel 1) and the basolateral amygdala (channel 2). For a comprehensive understanding of the experimental methods and procedures, please see our original publications: Han et al. (2023), Cho et al. (2023), and Kim et al. (2020).</p> <p>&nbsp;</p> <p>2.&nbsp;Position dataset</p> <p>Another top-level directory, &#39;data_behavior/&#39;, contains simultaneously recorded video (in avi format) (&#39;data_behavior/raw/&#39;) and position extracted from the video in csv format (&#39;data_behavior/processed/&#39;). The positions are located in the &#39;stimuli/position/&#39; directory.</p> <p>Position tracking is performed using the U-Net architecture of CNN (Ronnenberger, 2015; also see, Han et al. in press for detailed procedure). This method tracks the body area&#39;s location to extract its centroid.</p> <p>&nbsp;</p> <p>3. References</p> <p>Han, H. B., Shin, H. S., Jeong, Y., Kim, J., Choi, J. H., (2023) Dynamic switching of neural oscillations in the prefrontal&ndash;amygdala circuit for naturalistic freeze-or-flight,&nbsp;<em>Proceedings of the National Academy of Sciences,</em>,&nbsp;<em>120</em>(37),&nbsp;<a href="https://doi.org/10.1073/pnas.2308762120">https://doi.org/10.1073/pnas.2308762120</a></p> <p>Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., &amp; Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.&nbsp;<em>Scientific data</em>,&nbsp;<em>6</em>(1), 103.</p> <p>Kim, J., Kim, C., Han, H. B., Cho, C. J., Yeom, W., Lee, S. Q., &amp; Choi, J. H. (2020). A bird&rsquo;s-eye view of brain activity in socially interacting mice through mobile edge computing (MEC).&nbsp;<em>Science Advances</em>,&nbsp;<em>6</em>(49).</p> <p>Cho, S., &amp; Choi, J. H. (2023). A guide towards optimal detection of transient oscillatory bursts with unknown parameters.&nbsp;<em>Journal of Neural Engineering</em>.</p> <p>Ronneberger, O., Fischer, P., &amp; Brox, T. (2015). U-net: Convolutional networks for biomedical image segmentation. In&nbsp;<em>Medical Image Computing and Computer-Assisted Intervention&ndash;MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18</em>&nbsp;(pp. 234-241). Springer International Publishing.</p> <p>&nbsp;</p> <p>written by Hio-Been Han, hiobeen.han@gmail.com, 2023-09-07.</p>